动态博弈下温室无线传感器网络功率控制优化

Power control optimization of greenhouse WSN based on dynamic game

蔬菜温室内植株和温室结构会影响无线传感器网络信号传输,同时节点间相互干扰也会造成网络性能下降。考虑温室无线传感器网络对高容量低能耗功率控制方案的需求,首先以黄瓜温室为例,通过实验对信号损耗特性进行测试,并建立了信号路径损耗模型。基于此,引入节点信噪比阈值和节点剩余能量均衡比为每个无线传感器节点定义效益函数,在动态博弈下研究了温室无线传感器网络功率控制方案,并得到节点效益函数的适宜匹配权重因子。仿真结果表明,该方案基于设施黄瓜温室无线信号传输特性提供了1种功率控制策略,节点通过动态感知剩余能量与路径损耗能够实施高效节能的功率控制方案,从而降低网络能量损耗,提高网络传输性能。

Plants and greenhouse structure in vegetable greenhouse will affect the signal transmission of wireless sensor network(WSN).The interference between nodes will also lead to network performance degradation.Considering the demand for the power control scheme with high capacity and low energy consumption,this research tested the signal loss characteristics in cucumber greenhouse and established its signal transmission model.Based on this model,the signal-to-noise ratio and residual energy balance ratio were introduced to define benefit function for each sensor.Then,the power control scheme of greenhouse WSN was studied under the dynamic game theory,and the matching weight factor of benefit function was obtained.The simulation results show that this scheme provides a power control strategy based on wireless signal transmission characteristics in greenhouse,which can realize the network optimization with high efficiency and energy saving.